Plant disease detection using a depth-wise separable-based adaptive deep neural network
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19047-5.pdf
Reference48 articles.
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2. Pavithra P, Aishwarya P (2023) Plant leaf disease detection using hybrid grasshopper optimization with modified artificial bee colony algorithm. Multimed Tools Appl. https://doi.org/10.1007/s11042-023-16148-5
3. Argüeso D, Picon A, Irusta U, Medela A, San-Emeterio MG, Bereciartua A, Alvarez-Gila A (2020) Few-shot learning approach for plant disease classification using images taken in the field. Comput Electron Agric 175:105542. https://doi.org/10.1016/j.compag.2020.105542
4. Bedi P, Gole P (2021) Plant disease detection using hybrid model based on convolutional autoencoder and Convolutional Neural Network. Artif Intell Agric 5:90–101. https://doi.org/10.1016/j.aiia.2021.05.002
5. Chen J, Zhang D, Zeb A, Nanehkaran YA (2021) Identification of rice plant diseases using lightweight attention networks. Expert Syst Appl 169:114514. https://doi.org/10.1016/j.eswa.2020.114514
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